Data Science from Scratch: First Principles with Python 2nd Edition Overview Data Science from Scratch by Joel Grus provides a foundational introduction to essential concepts and techniques in data science...
"Deep Learning For Computer Vision With Python" by Adrian Rosebrock is a comprehensive guide that delves into the application of deep learning techniques for solving computer vision problems. The book...
Deep Learning: Foundations and Concepts by Christopher M. Bishop and Hugh Bishop Deep Learning: Foundations and Concepts by Christopher M. Bishop and Hugh Bishop offers an in-depth exploration of deep...
Deep Learning From Basics to Practice Volume One by Andrew Glassner provides a thorough exploration of deep learning, starting from foundational concepts and progressing to practical applications. This volume aims...
"Deep Learning With Python 2nd Edition" by Francois Chollet is a comprehensive guide that delves into the intricacies of deep learning using the Python programming language. This second edition expands...
In Hands-On Machine Learning with Scikit-Learn and TensorFlow, Aurélien Géron guides you through the most effective machine learning techniques and practices using Python libraries such as TensorFlow and Scikit-Learn. This...
"Introduction to Machine Learning 4th Edition" by Andreas C. Müller and Sarah Guido serves as a comprehensive guide for both beginners and seasoned practitioners delving into the realm of machine...
Introduction to Machine Learning with Python by Andreas C. Müller is a highly regarded book designed for both beginners and intermediate-level data scientists who are looking to explore the world...
"Learning Deep Learning" by Magnus Ekman is an extensive guide to mastering the foundational and advanced concepts of deep learning. The book covers essential topics such as neural networks, computer...
Hands-On Large Language Models: Language Understanding and Generation (1st Edition) by Jay Alammar and Maarten Grootendorst, published by O'Reilly, is a practical guide that delves into the world of large...
Practical Deep Learning: A Python-Based Introduction by Ronald T. Kneusel is an essential guide for beginners looking to dive into the world of deep learning using Python. The book introduces...
Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili is a comprehensive guide that covers the fundamentals...
"Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan (Author)" offers a comprehensive guide for scientists, researchers, and enthusiasts seeking to harness...
"The Hundred-Page Machine Learning Book" by Andriy Burkov provides a concise yet comprehensive introduction to the fundamentals of machine learning. Burkov distills complex concepts into a hundred pages, making it...